Patents by Inventor Wen-Po Chuang

Wen-Po Chuang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Blood vessel detecting apparatus and image-based blood vessel detecting method
    Patent number: 11690569
    Abstract: A blood vessel detecting apparatus and an image-based blood vessel detecting method are provided. In the method, first to-be-evaluated data is detected through a first detecting model to obtain a first detection result. Second to-be-evaluated data is detected through a second detecting model to obtain a second detection result. The first to-be-evaluated data includes one or more medical images obtained from photographing a blood vessel. The first detection result output by the first detecting model includes one or more pixels in the medical image belonging to the blood vessel. The first detecting model and the second detecting model are constructed based on a machine learning algorithm. The second to-be-evaluated data includes the first detection result. The second detection result output by the second detecting model includes one or more pixels in the medical image belonging to the blood vessel.
    Type: Grant
    Filed: January 11, 2021
    Date of Patent: July 4, 2023
    Assignees: Acer Incorporated, Far Eastern Memorial Hospital
    Inventors: Yun-Huan Lyu, Cheng-Tien Hsieh, Ai-Hsien Li, Wen-Po Chuang
  • BLOOD VESSEL DETECTING APPARATUS AND IMAGE-BASED BLOOD VESSEL DETECTING METHOD
    Publication number: 20220167912
    Abstract: A blood vessel detecting apparatus and an image-based blood vessel detecting method are provided. In the method, first to-be-evaluated data is detected through a first detecting model to obtain a first detection result. Second to-be-evaluated data is detected through a second detecting model to obtain a second detection result. The first to-be-evaluated data includes one or more medical images obtained from photographing a blood vessel. The first detection result output by the first detecting model includes one or more pixels in the medical image belonging to the blood vessel. The first detecting model and the second detecting model are constructed based on a machine learning algorithm. The second to-be-evaluated data includes the first detection result. The second detection result output by the second detecting model includes one or more pixels in the medical image belonging to the blood vessel.
    Type: Application
    Filed: January 11, 2021
    Publication date: June 2, 2022
    Applicants: Acer Incorporated, Far Eastern Memorial Hospital
    Inventors: Yun-Huan Lyu, Cheng-Tien Hsieh, Ai-Hsien Li, Wen-Po Chuang